The pilot worked. Now it needs to work every day, without a babysitter The pilot cleared its success threshold and everyone's pleased — but a demo on a sample of data isn't the same as a system that has to run every day, at full volume, without someone manually watching every edge case. There's a step between a successful pilot and production that's easy to underestimate.
Ready to publish without client data. --- # The pilot worked. Now it needs to work every day, without a babysitter
The pilot cleared its success threshold and everyone's pleased — but a demo on a sample of data isn't the same as a system that has to run every day, at full volume, without someone manually watching every edge case. There's a step between a successful pilot and production that's easy to underestimate.
The pilot performed well on a sample, but nobody has checked yet what happens once the process hits full volume, with all the irregularity the pilot never saw. Edge cases that came up once in the sample can show up daily in production.
Without a plan for production rollout, the pilot stays an interesting experiment people talk about in leadership meetings, but one that never reaches the team's daily work.
We take a solution that's passed its pilot and turn it into a production version: handling full volume, responding to cases the sample never had, and connecting it to the process the team actually works in. The rollout is done only once the system runs on its own, not once it works in a demo.
The production rollout is run by the same team that built the pilot — they already know the solution's limits and which cases need extra work before full launch. Every rollout ends with documentation and a knowledge handover to your team, not just working code.
What we don't do: we don't declare a rollout finished based on the system working on acceptance day — we check its behavior at full volume over an agreed period before calling the work done.
This is a new service line — we don't yet have published deployments to show off, and we say so directly rather than inventing references. We run first deployments on preferential terms, in exchange for the right to describe the result, without client data, as a reference case.
The scope covers taking one solution from pilot to a production version.
Price depends on the number of edge cases to handle, the target volume's scale, and whether integration with additional systems is needed. You know the amount after the pilot results analysis, not before it.
You set the success threshold. Before we start, we agree on the accuracy level the system must hold at full volume for the rollout to count as done.
A human in the loop where it's needed. Cases the system can't handle on its own go to your team clearly flagged, rather than being forced through.
Code and documentation in your repository. All code, configuration, and documentation land in a repository you control, not us.
The same team that runs production rollouts also runs pilots and our other automation services — so the number of new projects we take on each month is limited.
Send us your pilot results and the scale the solution needs to run at — we'll reply within a few business days with the scope of work and a firm price.
Every month without a production rollout is a month where a successful pilot stays a talking point from a presentation, not a real saving of your team's time.
Moving from pilot to a production version handling full volume · an observation period on live data before the project counts as done · documentation and team training as part of the rollout · success threshold agreed before we start · code and documentation stay under your control.
The pilot checks whether the solution works at all on a data sample. The production rollout prepares it to run at full volume, every day, unsupervised.
We analyze it and decide together with you whether the solution should handle it automatically or route it to a person.
It depends on how often the process occurs — a rarer process needs a longer window to gather enough real cases.
Yes, documentation and knowledge transfer are a standing part of the rollout, not an add-on service.
We go back to analyzing the causes together with you before deciding on next steps — we don't declare a rollout finished against the results.
Yes, we agree on the production scope together, and it can be limited to selected functions.